Main Responsibilities of an Analytics Executive at Nationwide Financial Services
Nick, an Analytics Executive at a financial services company, leads a team providing "c-suite leaders with insights" on strategic investments and acts as an internal analytics consulting group for other business units, also developing "journey analytics for customers" to identify areas for improvement. This multifaceted role showcases expertise in data science, visualization, and strategic decision-making within a large enterprise.
Data Analysis, Leadership, Strategic Planning, Data Visualization, Consulting
Advizer Information
Name
Job Title
Company
Undergrad
Grad Programs
Majors
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Job Functions
Traits
Nick Perri
Analytics Executive
Nationwide Financial Services Company
Arizona State University
Arizona State University (ASU) - W. P. Carey MBA, St Joseph's University MS Business Intelligence & Analytics
Spanish & Other Languages, Political Science, American Studies
Finance (Banking, Fintech, Investing), Nonprofit, Foundations & Grantmaking
Data and Analytics
Pell Grant Recipient, Took Out Loans, Worked 20+ Hours in School
Video Highlights
1. Leads an analytics team, providing insights to C-suite leaders on strategic investments and progress.
2. Serves as an analytics consulting group for the company, offering data visualization, engineering, and science solutions.
3. Develops customer journey analytics, creating dashboards to identify pain points and improvement opportunities in customer experiences.
Transcript
What are your main responsibilities within your current role?
Currently, I lead an analytics team within corporate strategy at a financial services company. Primarily, we are tasked with providing c-suite leaders with insights and updates around strategic investments they've made.
This involves helping them decide where to allocate investments and which technologies or initiatives to pursue. We also track progress on these investments and derive insights from the analytics.
Secondarily, we function as an analytics consulting shop for the broader enterprise. We collaborate with other business units to develop data visualization, data engineering, or data science solutions, and conduct hypothesis testing.
We also own customer journey analytics. This provides insights and dashboards to help business units and product teams better understand customer journeys, whether for servicing or purchasing products. This allows them to identify points of pain or opportunities for improvement.
